用仿人机器人提供驾驶模拟中的力反馈，提升沉浸感。
HumanoidTurk: Expanding VR Haptics with Humanoids for Driving Simulations
- 将仿人机器人转化为触觉设备，通过运动模拟游戏中的加速度信号。
- 16人实验显示机器人反馈显著提升真实感与沉浸度，但舒适度略有下降。
- 适合追求高真实感的虚拟现实驾驶体验研究者或开发者。
我们探索将仿人机器人重新定位为触觉媒介，突破其作为社交、辅助或协作代理的传统角色。为此，我们实现了HumanoidTurk系统，迈出基于仿人机器人的触觉系统的第一步，将游戏中的重力加速度信号转化为虚拟现实驾驶中同步的运动反馈。六名参与者参与的初步研究比较了两种合成方法，最终采用滤波法以获得更平滑、更真实的反馈。随后的16人研究评估了四种条件：无反馈、控制器、仿人机器人+控制器、真人+控制器。结果表明，仿人机器人反馈显著提升了沉浸感、真实感和愉悦度，但伴随适度的舒适度下降和晕动症风险。访谈进一步凸显机器人在一致性与可预测性方面优于人类反馈的适应性。由此，我们归纳出保真度、适应性与多功能性三大核心主题，确立仿人机器人作为沉浸式虚拟现实中的独特触觉模态。
原文摘要 · Abstract (English)
We explore how humanoid robots can be repurposed as haptic media, extending beyond their conventional role as social, assistive, collaborative agents. To illustrate this approach, we implemented HumanoidTurk, taking a first step toward a humanoid-based haptic system that translates in-game g-force signals into synchronized motion feedback in VR driving. A pilot study involving six participants compared two synthesis methods, leading us to adopt a filter-based approach for smoother and more realistic feedback. A subsequent study with sixteen participants evaluated four conditions: no-feedback, controller, humanoid+controller, and human+controller. Results showed that humanoid feedback enhanced immersion, realism, and enjoyment, while introducing moderate costs in terms of comfort and simulation sickness. Interviews further highlighted the robot's consistency and predictability in contrast to the adaptability of human feedback. From these findings, we identify fidelity, adaptability, and versatility as emerging themes, positioning humanoids as a distinct haptic modality for immersive VR.
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